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Field
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ability to carry out high-quality research. The employee should be specialized in theory and modelling. Very good knowledge of English, both spoken and written. Assessment criteria and other qualifications
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
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experiments to evaluate protein self-assembly. An ability to derive equations and writing code to analyze data on protein self-assembly. Practical experience in measuring protein size distributions and
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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scripting language (Python or R) database development, maintaining & sharing code repositories. Curiosity to solve fundamental biological questions and enthusiasm to lead new independent projects. Ability
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management